Methods and Systems for Improving Performance of Streaming Media Sessions

2. The method according to claim 1, wherein the size of the at least one window is determined as at least one of: a given time duration, a given count of consecutive packet sequence numbers, a given count of consecutive frame numbers, a given count of consecutive timestamps, a given series or count of events, a given series or count of semantic observations.

4. The method according to claim 1, wherein the step of determining the size of the at least one window and the step of analyzing the plurality of observation reports are performed recursively.

5. The method according to claim 1, wherein the step of analyzing the plurality of observation reports includes detecting a correlation between the first anomalous event and the second anomalous event, which belong to a same category when the first anomalous event and the second anomalous event occur within the at least one window, the first anomalous event and the second anomalous event being detected, respectively, for a first observation report and a second observation report from amongst the plurality of observation reports.

6. The method according to claim 5, wherein the size of the at least one window is determined dynamically.

11. The method according to claim 10, wherein the step of analyzing the plurality of observation reports includes detecting, in at least one other of the plurality of observation reports, at least one correlated event in future or past with respect to the at least one initial event.

14. The method according to claim 1, wherein the at least one streaming media session includes a plurality of streaming media sessions, wherein the method includes selecting the plurality of streaming media sessions across which the plurality of observation reports are to be analyzed, the plurality of streaming media sessions being selected using an aggregation scheme.

15. The method according to claim 1, wherein the plurality of monitoring entities includes at least one of: at least one of the plurality of communicating entities at least one network entity forwarding at least one media stream between the plurality of communicating entities.

17. The system according to claim 16, wherein the size of the at least one window is determined as at least one of: a given time duration, a given count of consecutive packet sequence numbers, a given count of consecutive frame numbers, a given count of consecutive timestamps, a given series or count of events, a given series or count of semantic observations.

19. The system according to claim 16, wherein the at least one reporting entity is configured to determine the size of the at least one window and to analyze the plurality of observation reports recursively.

20. The system according to claim 16, wherein when analyzing the plurality of observation reports, the at least one reporting entity is configured to detect a correlation between the first anomalous event and the second anomalous event, which belong to a same category when the first anomalous event and the second anomalous event occur within the at least one window, the first anomalous event and the second anomalous event being detected, respectively, for a first observation report and a second observation report from amongst the plurality of observation reports.

21. The system according to claim 16, wherein the at least one reporting entity is configured to determine the size of the at least one window dynamically.

26. The system according to claim 25, wherein when analyzing the plurality of observation reports, the at least one reporting entity is configured to detect, in at least one other of the plurality of observation reports, at least one correlated event in future or past with respect to the at least one initial event.

29. The system according to claim 16, wherein the at least one streaming media session includes a plurality of streaming media sessions, wherein the at least one reporting entity is configured to select the plurality of streaming media sessions across which the plurality of observation reports are to be analyzed, wherein the plurality of streaming media sessions are to be selected using an aggregation scheme.

30. The system according to claim 16, wherein the plurality of monitoring entities includes at least one of: at least one of the plurality of communicating entities, at least one network entity forwarding at least one media stream between the plurality of communicating entities.